As artificial intelligence has become useful for solving everyday problems, it has left the exclusive realm of research and become an applied technology. So, who gets to claim it?
Few-shot learning allows us to feed AI models a small amount of training data from which to learn. Here’s how few-shot learning works and why it’s important.
In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.
